Triple
T23760562
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | One Vanderbilt |
E587236
|
entity |
| Predicate | rankAmongTallestInNYC |
P31595
|
FINISHED |
| Object | one of the tallest buildings in New York City |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: one of the tallest buildings in New York City | Statement: [One Vanderbilt, rankAmongTallestInNYC, one of the tallest buildings in New York City]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankAmongTallestInNYC Context triple: [One Vanderbilt, rankAmongTallestInNYC, one of the tallest buildings in New York City]
-
A.
rankingInNewYorkByElevation
Indicates the relative ordering of places located in New York based on their elevation above sea level.
-
B.
rankInCityByHeight
Indicates the relative ordering of entities within a specific city based on their height, such as which is tallest, second tallest, and so on.
-
C.
rankByPopulationInNYC
Indicates the relative ordering of entities based on the size of their populations within New York City.
-
D.
rankAmongTallestBuildings
chosen
Indicates that one building is among the tallest buildings within a specified group, area, or category.
-
E.
rankInShanghaiByHeightCurrent
Indicates the position an entity currently holds in a ranking of heights within Shanghai, ordered from tallest to shortest.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2490b8ac48190a6b35f1d5500486b |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bdb289508190a4a1049762102794 |
completed | April 29, 2026, 8:13 a.m. |
| PD | Predicate disambiguation | batch_69f155f79e34819080f9ddb972b34deb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 7:14 p.m.